Data Scientist

  • New York, NY
  • Posted 3 days ago | Updated 9 hours ago

Overview

On Site
USD 90,000.00 - 120,000.00 per year
Full Time

Skills

Project Delivery
Collections Management
Algorithms
Geospatial Analysis
Research
Emerging Technologies
Build Vs Buy
Research and Development
Digital Strategy
Mathematics
Computer Science
Data Engineering
Data Science
Statistics
Predictive Modelling
Collaboration
SQL
Python
Programming Languages
Data Manipulation
Performance Appraisal
Natural Language Processing
Data Governance
Privacy
Data Visualization
Microsoft Power BI
DAX
Machine Learning (ML)
Generative Artificial Intelligence (AI)
Plotly
D3.js
Git
Version Control
Microsoft
Computer Vision
RESTful
C#
Microsoft Azure
Cloud Computing

Job Details

Placed at the heart of Gensler's People + Process + Technology the New York Design Technology Studio drives digital transformation of our creative and project delivery practices throughout the Northeast region. Our ultimate outcome is to co-create a design technology ecosystem that enables our practitioners to leverage the most advanced methodologies and technological solutions reaching a new level of creativity and delivering the most impactful designs to our clients. If you are a disruptive technologist that's ready to change the world with big and impactful ideas, we want you to join our growing and innovative award-winning team!

Your Role

The New York Design Technology Studio at Gensler is looking for a Data Scientist to join our team. In this role you will bring crucial insight and capability into our Design Technology team that is delivering innovative solutions connecting the data and outcomes from our designs to our practitioners, projects, and clients through a highly creative and collaborative culture. You will be required to demonstrate strong technical aptitude with traditional and cutting-edge methodologies for the collection, management, analysis, synthesis, and assessment of large datasets with an objective of identifying trends, insights, and opportunities for improvement.

What You Will Do
  • Support a fast-growing data-driven design community of practitioners in the region
  • Collaborate with studio colleagues on strategies & innovative solutions for driving insights back into early stages of the design process
  • Collaborate with the Data team to develop, train and deploy ML classification algorithms leveraging a continuous flow of data originating and extracted from data-rich design authoring tools
  • Support a fast-growing data-driven design community of practitioners in the region
  • Leverage the outcomes of trained data models to explore trends and define insights in alignment with business and client needs
  • Research opportunities and implement the integration and correlation of additional datasets such as geospatial data, proprietary data, and operational data
  • Research emerging technologies in the AEC space and make recommendations on build vs. buy strategies
  • Support R&D of future Strategic Insights initiatives
  • Participate in the convergence of multiple aspects of our overall digital strategy with data and insights generation in alignment with business goals

Your Qualifications
  • Bachelor's or Master's degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science.
  • 3-5 years of strong practical experience in statistical analysis, machine learning, and / or predictive modeling (AEC Industry experience a plus)
  • Ability to work in a highly creative environment and collaborate on solutions to complex problems
  • Track record of staying current with best practices and new technology solutions
  • Proficiency in SQL and Python (or equivalent) programming languages for data manipulation, analysis, and model development
  • Experience with various machine learning & generative ai technologies, performance evaluation and creating end-to-end ML pipelines
  • Experience with generative AI models & development frameworks, specifically around LLMs and NLP
  • Understanding of Data governance practices, data privacy regulations, and security best practices
  • Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and / or streamlit.
  • Experience with using Git + source control in a team environment
  • Experience with Azure and Microsoft Fabric are a plus
  • Experience with development of serverless compute services like Azure Functions a plus
  • Computer Vision experience is a plus
  • Experience in REST API service development a plus
  • C# as well as event-driven architectures is a plus
  • Azure (or other cloud provider) certifications a plus

**The base salary will be estimated between 90-120k plus bonuses and benefits and contingent on relevant experience.

Life at Gensler

At Gensler, we are as committed to enjoying life as we are to delivering best-in-class design. From curated art exhibits to internal design competitions to "Well-being Week," our offices reflect our people's diverse interests.

We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical, dental, vision, disability, wellness programs, flex spending, paid holidays, and paid time off. We also offer a 401k, profit sharing, employee stock ownership, and twice annual bonus opportunities. Our annual base salary range has been established based on local markets.

As part of the firm's commitment to licensure and professional development, Gensler offers reimbursement for certain professional licenses and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programs or classes. We view our professional development programs as strategic investments in our future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.